Exploratory Study of Adopters’ Concerns Prior to Acquiring Dogs or Cats from Animal Shelters
Bibliographic record
Abstract
Caretaker expectations for companion-animal guardianship can affect attachment to, and satisfaction with, an animal. Understanding these expectations may help match adopters and companion animals, increasing success of adoptions. Seventeen one-on-one interviews were used to gain a deep understanding of the thoughts and expectations of potential cat or dog adopters at three animal shelters in Ontario, Canada. Thematic analysis was conducted until data saturation was achieved (n= 14). Animal behavior was the most common prior concern held by participants, specifically, unknown history, aggression, incompatibility between animals, and shy or aloof, destructive, or vocal behavior. Participants who identified adoption “deal-breakers” often identified specific traits they wanted and did not want in an animal. In contrast, others indicated they would seek out training or advice for problem behaviors. Participants discussed prior human-related concerns less frequently. Understanding pre-adoption concerns at the time of adoption will assist in better preparing individuals for companion-animal guardianship.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".